To determine the significance level in your email marketing tests, you should:
Define your null hypothesis and alternative hypothesis. Choose your significance level (commonly set at 0.05). Collect and analyze your data. Calculate the p-value, which helps determine the statistical significance of your results.
If the p-value is less than the chosen significance level, you can reject the null hypothesis, indicating that your test results are statistically significant.